Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Augmented reality presentations are provided at respective electronic devices. A first electronic device receives information relating to modification made to an augmented reality presentation at a second electronic device, and the first electronic device modifies the first augmented reality presentation in response to the information.

Augmented reality presentations are provided at respective electronic devices. A first electronic device receives information relating to modification made to an augmented reality presentation at a second electronic device, and the first electronic device modifies the first augmented reality presentation in response to the information.

Apparatuses and methods associated with preserving authentication under item change are disclosed herein. In embodiments, acquiring digital image data of an image of at least a portion of a target physical object; extracting features from the image data to form a digital fingerprint; querying the database system to seek a matching record based on the digital fingerprint; based on an amount of difference between the digital fingerprint and a stored digital fingerprint of the database, update the database system to output a new indication of a new match to the physical object for any new samples that are not matchable to the stored digital fingerprint within a first predetermined similarity threshold provided the new samples are matchable to the digital fingerprint within a second predetermined similarity threshold. Other embodiments may be disclosed or claimed.

Apparatuses and methods associated with preserving authentication under item change are disclosed herein. In embodiments, acquiring digital image data of an image of at least a portion of a target physical object; extracting features from the image data to form a digital fingerprint; querying the database system to seek a matching record based on the digital fingerprint; based on an amount of difference between the digital fingerprint and a stored digital fingerprint of the database, update the database system to output a new indication of a new match to the physical object for any new samples that are not matchable to the stored digital fingerprint within a first predetermined similarity threshold provided the new samples are matchable to the digital fingerprint within a second predetermined similarity threshold. Other embodiments may be disclosed or claimed.

A data store to store and access digital records is provided, and a key object record is initialized in the data store to store data associated with a physical key object. A digital fingerprint of the physical key object is stored in the key object record. Another digital record is created in the data store that is not the key object record. The digital record is linked to the digital fingerprint of the physical key object. The linking is arranged to provide secure control access to the linked digital record. A tendered access key is received via a programmatic interface or user interface, and the data store is queried based on the tendered access key to identify a matching digital fingerprint of a key object. In a case that the querying identifies the matching digital fingerprint of the key object within a prescribed level of confidence, access to the linked digital record secured by the key object is granted.

A method for performing automatic visual inspection includes: capturing visual information of an object using a scanning system including a plurality of cameras; extracting, by a computing system including a processor and memory, one or more feature maps from the visual information using one or more feature extractors; classifying, by the computing system, the object by supplying the one or more feature maps to a complex classifier to compute a classification of the object, the complex classifier including: a plurality of simple classifiers, each simple classifier of the plurality of simple classifiers being configured to compute outputs representing a characteristic of the object; and one or more logical operators configured to combine the outputs of the simple classifiers to compute the classification of the object; and outputting, by the computing system, the classification of the object as a result of the automatic visual inspection.

Methods and systems including one or more entropically configured distinct physical features (an “identropy”) that serve as unique identifiers for a physical item, such as a product or device, particularly products and/or devices in commerce, documents, packaging, etc. are described herein. The identropy makes it possible to uniquely distinguish one item from the other. In one embodiment, the identropy needs to be converted into a digital entity which can be done through a challenge-response interaction, in which a physical challenge acts upon the identropy, and in which the identropy as a reaction to the challenge will provide a physical response. In some embodiments, the response(s) described above is encrypted. In some embodiments, the resulting decrypted and optionally decompressed code can be compared to the digital response that was retrieved upon the challenge by the authentication device to estimate a trust score, such as a trust quotient.

Methods and systems including one or more entropically configured distinct physical features (an “identropy”) that serve as unique identifiers for a physical item, such as a product or device, particularly products and/or devices in commerce, documents, packaging, etc. are described herein. The identropy makes it possible to uniquely distinguish one item from the other. In one embodiment, the identropy needs to be converted into a digital entity which can be done through a challenge-response interaction, in which a physical challenge acts upon the identropy, and in which the identropy as a reaction to the challenge will provide a physical response. In some embodiments, the response(s) described above is encrypted. In some embodiments, the resulting decrypted and optionally decompressed code can be compared to the digital response that was retrieved upon the challenge by the authentication device to estimate a trust score, such as a trust quotient.

The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating image layers and determining layer labels utilizing a machine learning approach. For example, the disclosed systems utilize an image segmentation machine learning model to segment the digital image and identify individual objects depicted within the digital image. Additionally, in some embodiments, the disclosed systems determine object classifications for the depicted objects by utilizing an object classification machine learning model. In some cases, the disclosed systems further generate image layers for the digital image by generating a separate layer for each identified object (or for groups of similar objects). In certain embodiments, the disclosed systems also determine layer labels for the image layers according to the object classifications of the respective objects depicted in each of the image layers.